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C3D + SVM #5

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cagbal opened this issue Nov 15, 2017 · 4 comments
Closed

C3D + SVM #5

cagbal opened this issue Nov 15, 2017 · 4 comments

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@cagbal
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cagbal commented Nov 15, 2017

Hi,
Thanks for such a great work! I just want to ask that did you get the c3d + svm = 82% stated in the paper?

I could not. Maybe I am doing something wrong!

@DavideA
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DavideA commented Nov 22, 2017

Hi and thank you for interest.

I did not try to replicate results in the paper, I just limited to translate parameters correctly from the Keras + Theano version.

If you're interesed, another pretrained C3D model (based on ResNet) is available here.

A lot of stuff can affect your result. For example, did you take a peek into this issue?

@cagbal
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cagbal commented Nov 29, 2017

Yeah got it!
Just FYI I achieved 78% with FCN not with linear SVM on split 1.My channels are true, but did not extract mean.

@cagbal cagbal closed this as completed Nov 29, 2017
@devraj89
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devraj89 commented Aug 8, 2018

Hi, @cagbal @DavideA can you please tell me whether I should do mean subtraction? In the file predict.py line L18-19 it is left as an open-ended question? @cagbal can you please mention what exactly did you do to get 78% results? Also @cagbal you mentioned something about the channels being true. I could not understand that statement.

@cagbal
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cagbal commented Aug 9, 2018

Sorry, I don't remember the details. it was a long time ago. I probably just added some FC layers and fine-tuned it.

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